Exploratory Factor Analysis Functions for Assessing Dimensionality


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Documentation for package ‘EFA.dimensions’ version 0.1.6

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EFA.dimensions-package EFA.dimensions
CONGRUENCE Factor solution congruence
data_Field data_Field
data_Harman Correlation matrix from Harman (1967, p. 80).
data_NEOPIR data_NEOPIR
data_RSE Item-level dataset for the Rosenberg Self-Esteem scale
data_TabFid data_TabFid
EXTENSION_FA Extension factor analysis
FACTORABILITY Factorability of a correlation matrix
IMAGE_FA Image factor analysis
LOCALDEP Local independence
MAP Velicer's minimum average partial (MAP) test for the number of factors
MAXLIKE_FA Maximum likelihood factor analysis
NEVALSGT1 Number of eigenvalues greater than 1 in a correlation matrix.
PARALLEL Parallel analysis of eigenvalues (random data only)
PA_FA Principal axis (common) factor analysis
PCA Principal components analysis
POLYCHORIC_R Polychoric correlation matrix
PROCRUSTES Procrustes factor rotation
PROMAX Promax rotation
RAWPAR Parallel analysis of eigenvalues with real data as input
ROOTFIT Factor fit coefficients
SALIENT Salient loadings criterion for determining the number of factors.
SCREE_PLOT Scree plot of eigenvalues
SESCREE Standard Error Scree test for the number of components.
VARIMAX varimax rotation